An example of doing MovieLens recommendations using triplet loss in Keras
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Updated
Aug 2, 2016 - Python
An example of doing MovieLens recommendations using triplet loss in Keras
Image Retrieval Experiment Using Triplet Loss
Re-implementation of tripletloss function in FaceNet
Unsupervised method for pose estimation of 2D Images using renderings of 3D models
python, triplet loss, batch triplet loss, kaggle, image classifier, svm
Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"
A Deep Metric Learning Approach to Signature Verification
This project is intended to solve the task of massive image retrieval.
Triplet Loss implementation of Deep Speaker
Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset
Image search based on convolutional neural network feature extraction.
Face recognition based on facenet with several networks as backends
The final project of DLCV course (CommE 5052) on NTU
This project implements triplet loss and semi-hard mining in tensorflow.
Background Aware Metric Learning
Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
Implementation of triplet loss in TensorFlow
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